Fall 2021 Virtual Workshop
Date: Thursday November 18, 2021
Location: Virtual Event
Map Link and Directions: Virtual Event
Parking: Virtual event
TCOUG Check In: None (Please register)
Wifi : N/A
Oracle Machine Learning(1)
Learn how OML's AutoML user interface places a no-code UI in the hands of Data Scientists and non-experts while minimizing data movement
Mark Hornick (Oracle Corp.)
Simplicity of deploying Oracle Machine Learning models on Autonomous Database
Marcos Arancibia (Oracle Corp.)
Using third-party python packages from SQL and REST with Oracle Autonomous Database
Sherry LaMonica (Oracle Corp.)
Converged Database impacts on Security, Operations and Application Development(2)
Operations, Application Development and Security: How Oracle's Converged Database is Radically Changing the Game for All Three.
Dr. Matthew O'Keefe (Oracle Corp.)
09:00AM CST Opening note by TCOUG President, Suresh Sikharam
09:05AM CST Message from our Sponsor - Collier IT
09:10AM CST Introducing the new faces of Oracle Machine Learning
by Mark Hornick
In-database machine learning offers automation, scalability, and ease of deployment. OML on Oracle Autonomous Database introduces three new "faces": OML4Py, OML AutoML UI, and OML Services. With Oracle Machine Learning for Python, data professionals leverage the database as a high-performance compute engine - minimizing data movement - while also benefiting from powerful automated machine learning. The Oracle Machine Learning AutoML User Interface places a no-code user interface in the hands of data scientists and non-expert users as a productivity tool to automate the modeling and deployment process. OML Services provides REST endpoints for model management and deployment along with cognitive text analytics. Join us for this OML overview with demonstrations.
09:40AM CST Break (10 minutes)
09:50AM CST You Have a machine learning model, now what?
by Marcos Arancibia
One of the more challenging problems to solve when developing machine learning-based applications can be model deployment. Most machine learning project failures occur due to difficulties pushing models to production. Join us as we show how Oracle Machine Learning on Autonomous Database makes it simple to deploy machine learning solutions. We will discuss and demonstrate multiple options for augmenting your enterprise projects with machine learning using the SQL, Python, and REST APIs.
10:20AM CST Break (10 minutes)
10:30AM CST Using third-party Python packages from SQL and REST with Oracle
by Sherry LaMonica
With Oracle Machine Learning for Python, you can invoke user-defined functions on database-spawned and controlled Python engines using embedded Python execution. An added benefit is the ability to easily leverage data-parallel and task-parallel invocation aided by the database environment. Join this session to learn about the options for working with third-party packages using OML4Py from the Python, SQL, and REST APIs - covering on-premises Oracle Database and Oracle Autonomous Database.
11:00AM CST BREAK (20 minutes)
11:20 PM CST Operations, Application Development, and Security: How Oracle's
Converged Database is Radically Changing the Game for All Three
by Dr. Matthew O’Keefe
Oracle's converged database's support for operations, application development and security are changing what is possible for customers in each of these domains. Come to this session to learn more about how a converged database that supports multiple data types, workloads, and app dev paradigms can change how your company does business in each of these areas.
12:50 PM CST Closing note by the TCOUG President, Suresh Sikharam
About the Speakers
Mark Hornick - Sr. Director of Product Management for OML (Oracle Corp.)
Mark Hornick is Senior Director of Product Management for Oracle Machine Learning. He leads the Oracle Machine Learning product management team and works closely with product development on product roadmap and strategy. Mark has over 20 years of experience integrating and leveraging machine learning with Oracle technologies, working with internal and external customers in the application of Oracle’s machine learning technologies for scalable and deployable data science projects. Mark is Oracle’s representative on the R Consortium Board of Directors, a founding member and advisor of the Analytics and Data Oracle User Community and has served as Content Selection Committee Chair for the Analytics and Data (and BIWA) Summits. Mark holds a bachelor’s degree from Rutgers University and a master’s degree from Brown University, both in computer science.
Marcos Arancibia - Product Manager OML on Spark (Oracle Corp.)
Marcos Arancibia is the Product Manager for Oracle Machine Learning, working with Machine Learning in the Oracle Database and on Spark. He develops product strategy, roadmap prioritization, product positioning and product evangelization, helping define the product roadmap for Oracle Machine Learning. Before joining Oracle in 2010 he spent 13 years at SAS Institute Inc., from Country Manager in LAD to Regional Data Mining lead in the US. He holds a bachelor's degree with additional courses in the master's degree, both in Statistics from UNICAMP in Brazil. He has Certifications from Stanford on AI and Machine Learning, and from the University of Washington on Computational Neuroscience.
Sherry LaMonica - Principal member of Technical staff at OML Product Management IT (Oracle Corp.)
Sherry LaMonica is a Principal Member of Technical Staff on the Oracle Machine Learning Product Management team. She has 20 years of software experience focused on enabling the commercial use of the open-source data analysis software systems R and Python for data science projects. She has worked with customers in fields as diverse as pharmaceutical research, financial analysis, manufacturing and healthcare IT.
Matthew O'Keefe - PhD is CTO, Oracle ISV Ecosystem in North America (Oracle Corp.)
Matthew O'Keefe holds a PhD and is CTO, Oracle ISV Ecosystem in North America and is a frequent speaker at TCOUG.
Suresh Sikharam - President TCOUG, Enterprise Data and Systems Architect
Suresh has over 24 years of experience in Database Development, Architecture, performance tuning Oracle and SQL applications.
Mentor, Team Lead, People manager, with experience leading many technical teams to success in software development and CI/CD space using Git, BAMS, Puppet, Flyway.
Technical team lead Data Science projects.
Currently leading strategic efforts in the Enterprise Data and Systems Architecture.
Broad and deep knowledge in AWS, GCP and Azure ecosystems.